TY - THES
A1 - Cuéllar Sanchez, Ileana Elizabeth
T1 - Holistic measurement framework of innovation for nanufacturing SME´s in industrialized countries : meta-analysis study of empirical research
N2 - Small and Medium Enterprises (SMEs) have become a driver motor of economies. Moreover, in developed countries, the manufacturing SMEs play an important role in the value creation and employment generation.O'regan et al. (2006) presents that constant innovation is a key component to maintain a sustainable competitive advantage. Raymond et al. (2010) claims that particular manufacturing SMEs should continuously improve their manufacturing processes in order to ensure long term sustainability. However, given the lack of resources and experience, SMEs find it difficult converting research and development into effective innovation (O’regan et al., 2006). Researchers have explained why certain firms innovate more than others by identifying a number of critical success factors or drivers of innovation such as strategy, social capital (Balachandra and Friar, 1997) or R&D (Becheikh et al., 2006a, Raymond et al.2010). The literature on the topic is diverse, there are different approaches and there is not a consensus on how those success factors can be measured. Therefore, the present thesis develops a meta-analysis study of the empirical research on the drives of innovation in manufacturing SMEs of developed countries. The result is a consolidated framework of the success factors and its measurements proposed by 49 authors, those were organized in the different phases of a holistic innovation process. The process considered was presented by Tidd and Bessant (2005). In consequence, the contribution of the present thesis is to serve as a starting point for future studies on drivers of innovation and its measurements, also, to serve as reference for future researchers that will develop a meta-analysis study.
KW - Innovation
KW - Holistic Innovation Process
KW - Small and Medium Enterprises (SME)
KW - Drivers of Innovation
KW - Meta-analysis
Y1 - 2016
ER -